Languages

English, German

Expertise

Image analysis and vision technology. Focus has been on statistical methods and models for handling high-dimensional image data in several areas such as texture analysis and multispectral imaging. JMC has developed new models for texture and shape based on Markov Random Fields in a Bayesian framework. These models have created new possibilities in areas such as high-throughput screening in biotechnology, mapping of crustal deformations for satellite and GPS data, and 3D simulation of oil reservoirs. The work has to a large extent been application-driven with many applications within industrial production, food, and biotechnology. JMC was responsible for establishing the Industrial Image Laboratory at DTU in 1995, and has received many research grants from EU, national research councils, ministries, Nordic Industry Fond, and industry. From 1997 JMC has been chairing the annual industrial visionday at DTU with app. 100 participants from industry and academia. JMC is a key developer of several vision-based instruments e.g. the VideometerLab in 2001 (Foodtech Innovation Award 2003, EU patent in 2003, US patent in 2005). JMC has received two patent families, and two patent applications are pending. In 1999 JMC founded Videometer – a private vision R&D company, and during the last 7 years JMC has been overall responsible for more than 140 commercial R&D projects.